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科研机构
兰州理工大学 [8]
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期刊论文 [8]
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2022 [3]
2021 [1]
2020 [1]
2017 [2]
2015 [1]
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A discrete learning fruit fly algorithm based on knowledge for the distributed no-wait flow shop scheduling with due windows
期刊论文
Expert Systems with Applications, 2022, 卷号: 198
作者:
Zhu, Ningning
;
Zhao, Fuqing
;
Wang, Ling
;
Ding, Ruiqing
;
Xu, Tianpeng
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2022/04/21
Fruits
Iterative methods
Job shop scheduling
Learning algorithms
Local search (optimization)
Machine shop practice
Manufacture
Distributed no-wait flow-shop
Due-window
Fruit fly optimization
Fruitflies
Knowledge model
No-wait flowshop
Optimisations
Probability knowledge model
Variable neighborhood descend
Variable neighbourhoods
An effective water wave optimization algorithm with problem-specific knowledge for the distributed assembly blocking flow-shop scheduling problem
期刊论文
Knowledge-Based Systems, 2022, 卷号: 243
作者:
Zhao, Fuqing
;
Shao, Dongqu
;
Wang, Ling
;
Xu, Tianpeng
;
Zhu, Ningning
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2022/04/21
Benchmarking
Integer programming
Machine shop practice
Manufacture
Production control
Scheduling
Supply chains
Blocking flow shops
Distributed assembly
Flow shop scheduling problem
Mixed integer linear
Optimisations
Optimization algorithms
Performance
Problem-specific knowledge
Total tardiness
Water wave optimization
A Hyperheuristic With Q-Learning for the Multiobjective Energy-Efficient Distributed Blocking Flow Shop Scheduling Problem
期刊论文
IEEE Transactions on Cybernetics, 2022, 页码: 1-14
作者:
Zhao, Fuqing
;
Di, Shilu
;
Wang, Ling
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2022/09/22
Carbon
Energy efficiency
Heuristic algorithms
Job shop scheduling
Machine shop practice
Planning
>
$Q$
-learning
Blocking flow shops
Distributed blocking flow shop scheduling
Energy-consumption
Flow-shop scheduling
Heuristics algorithm
Hyper-heuristics
Index
Job-Shop scheduling
Optimisations
Production facility
Q-learning
Total energy
Total energy consumption
Total tardiness
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A Self-Learning Discrete Jaya Algorithm for Multiobjective Energy-Efficient Distributed No-Idle Flow-Shop Scheduling Problem in Heterogeneous Factory System
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021
作者:
Zhao, Fuqing
;
Ma, Ru
;
Wang, Ling
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2022/03/01
Production facilities
Job shop scheduling
Optimization
Energy consumption
Search problems
Load management
Sustainable development
Energy-efficient distributed no-idle flow-shop scheduling problem (FSP)
energy-saving strategy
heterogeneous factory system
Jaya algorithm
self-learning operation selection strategy (SLOS)
A hybrid discrete water wave optimization algorithm for the no-idle flowshop scheduling problem with total tardiness criterion
期刊论文
Expert Systems with Applications, 2020, 卷号: 146
作者:
Zhao, Fuqing
;
Zhang, Lixin
;
Zhang, Yi
;
Ma, Weimin
;
Zhang, Chuck
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2020/11/14
Scheduling
Water waves
Effectiveness and efficiencies
Exploration and exploitation
Flow shop scheduling problem
Manufacturing industries
Optimization algorithms
State-of-the-art algorithms
Total tardiness
Variable neighborhood search
An improved MOEA/D for multi-objective job shop scheduling problem
期刊论文
International Journal of Computer Integrated Manufacturing, 2017, 卷号: 30, 期号: 6, 页码: 616-640
作者:
Zhao, Fuqing
;
Chen, Zhen
;
Wang, Junbiao
;
Zhang, Chuck
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2022/02/17
Decomposition
Evolutionary algorithms
Machine shops
Multiobjective optimization
Scheduling
Adaptive mechanism
Convergence performance
Convergence speed
Initial population
Job shop scheduling problems
Multi objective evolutionary algorithms
Multi-objective job shop scheduling
Multiple-objectives
An improved MOEA/D for multi-objective job shop scheduling problem
期刊论文
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 2017, 卷号: 30, 期号: 6, 页码: 616-640
作者:
Zhao, Fuqing
;
Chen, Zhen
;
Wang, Junbiao
;
Zhang, Chuck
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/11/15
decomposition
job shop scheduling
multi-objective optimisation
multi-objective evolutionary algorithm based on decomposition
A modified MOEA/D with adaptive mutation mechanism for multi-objective job shop scheduling problem
期刊论文
Journal of Computational Information Systems, 2015, 卷号: 11, 期号: 8, 页码: 2833-2840
作者:
Zhao, Fuqing
;
Chen, Zhen
;
Zhang, Chuck
;
Wang, Junbiao
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2020/11/14
Algorithms
Decomposition
Evolutionary algorithms
Multiobjective optimization
Optimization
Scheduling
Scheduling algorithms
Adaptive
Adaptive approach
Adaptive mutation
Effectiveness and efficiencies
Job shop scheduling problems
Multi objective evolutionary algorithms
Multi-objective job shop scheduling
Pareto dominance
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